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More like this
Over the past decade, the development of ML and AI technologies has proliferated with unprecedented progress being made in many fields.
We now have AI systems that process, categorise and make predictions on data for ever-increasing types of applications. We have systems adding filters to photos, airbrushing images or creating new images from words. We have systems that handle our customer service queries, drive our cars and verify our identities. All this progress has resulted in the average automated system being significantly larger in scale and complexity than a decade ago.
This acceleration is partially enabled and driven by the development of tools facilitating anyone and any company, from experts to novices, to develop and launch models to the world. In 2023 there were 1,426 companies offering ML tools, compared to 139 in 2012. This represents a +1,000% increase! Evidently, there is a huge need for tools to support the various technical requirements of ML workflows.
In this talk we will discuss how to discover and prioritise the key requirements for your ML platform and any ML tool that you consider adding to your stack.
